Boosting Machine Learning Models in Python
Ditulis pada: January 17, 2020
Boosting Machine Learning Models in Python, Leverage ensemble techniques to maximize your machine learning models in Python
- NEW
- Created by Packt Publishing
- English
- English [Auto-generated]
PREVIEW THIS COURSE - GET COUPON CODE
What you'll learn
- Discover and use the main concepts behind ensemble techniques and learn why they are important in applied machine learning
- Learn how to use bagging to combine predictions from multiple algorithms and predict more accurately than from any individual algorithm
- Use boosting to create a strong classifier from a series of weak classifiers and improve the final performance
- Explore how even a very simple ensemble technique such as voting can help you maximize performance
- Also learn a powerful and less well-known stacking technique, where you combine different models with another machine learning algorithm to focus on distinctive features of your dataset for each individual model
- Evaluate which ensemble technique is good for a particular problem
- Train, test, and evaluate your own XGBoost models
